Predictive models for the maximum recommended therapeutic dose (MRTD) of anti-retroviral drugs
- At: 2011 FIP Congress in Hyderabad (India)
- Type: Poster
- By: GOVENDER, Thirumala (University of Kwazulu Natal, South Africa, Durban, South Africa)
- Co-author(s): Branham, M. (University of KwaZulu Natal, South Africa, Durban, South Africa)
Background: Anti-retroviral drugs (ARVs) are often prescribed in high doses or in combinations which increase the occurrence of adverse side effects. The use of computational methods, such as quantitative-structure property relationships (QSPR) and artificial neural networks (ANN), to predict the maximum recommended therapeutic dose (MRTD) of ARVs.. The access to the whole abstract and the presentation file is available to FIP members and to congress participants of that specific congress.